In this app, you select a response variable and an explanatory variable, as well as (optionally) a covariate.
The app automatically builds a model of the response variable in terms of the explanatory variable and covariate (if any). The model is displayed along with the data.
The first step is to go to the “Data” tab. There you can choose from a library of data sets, a specific data frame from that library, and response and explanatory variables. The data and a model of the response in terms of the explanatory variables will be shown immediately.
The buttons near the top of the app allow you to
At the bottom of the apps are several tabs that give different displays of the situation:
Often, you want to compare the model you got with the actual data to a model constructed with data simulated from the null hypothesis of no relationship between the response and explanatory variables. The simulated data is identical to the actual data except the response variable values have been shuffled.
For instance, you might build a model with randomization OFF, then freeze the display. Next, turn randomization ON and compare the simulated results to the actual results you have already frozen.
This app automatically builds a model of the response variable as a function of the explanatory variable. The statistics shown are:
You can tell the app to display the distribution of the response and model values. (See the Graph and Compare tabs.) The I-bar shows the mean ± 1 and 2 times the standard deviation. (The variance, shown in the statistics report, is the square of the standard deviation.)